한국해양대학교

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Dynamic Modeling and Performance Analysis of Horizontal Axis Wind Turbines: Land-Based and Floating Models

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dc.contributor.advisor Young-Ho Lee -
dc.contributor.author Ali Azzam Mohammed Alkhabbaz -
dc.date.accessioned 2022-06-23T08:57:47Z -
dc.date.available 2022-06-23T08:57:47Z -
dc.date.created 20220308093442 -
dc.date.issued 2022 -
dc.identifier.uri http://repository.kmou.ac.kr/handle/2014.oak/12856 -
dc.identifier.uri http://kmou.dcollection.net/common/orgView/200000603128 -
dc.description.abstract In this thesis, the aerodynamic performance of horizontal axis wind turbines were analyzed directly in a series of simulations using computational fluid dynamics and experimental tests using wind tunnels. Two different types of horizontal axis wind turbines were examined involving: land-based and floating models. For land-based wind turbines, the aerodynamic design of a 10 kW wind turbine rotor was initially performed using both ideal and actual rotor theories. The BEM provides a non-linear blade profile in terms of chord and twist distributions. From the technical point of view, linear distributions of the chord and twist angle are highly recommended to enhance the blade aerodynamic performance and ease the fabricating complexity. Hence, a unique optimization approach is introduced to linearize the blade profile by dividing the congruent line of both ideal and actual models into equal divisions. The points along the identical tangent line are considered as floating new blade roots, whereas the blade tip was kept fixed based on the primary design. The linear profile based on the new value of blade root is described using algebraic equations. The local element torque, capacity factor, and the annual energy production based on the Weibull distribution are adopted to evaluate and select the optimal blade profile. The aerodynamic performance and aeroelastic behavior of both primary and linearized blade profiles were analyzed using CFD and FEA approaches respectively. Results show an enhancement in the aerodynamic performance in terms of power coefficient up to (5.9%) compared to the primary blade design. Moreover, the optimized blade has shown less tip deflection by 27.92 % than the primary blade at low wind speed. Since the power production of the wind turbine is proportional to the third order of incoming wind speed, therefore, even a slight increment in wind speed can immensely enhance the overall aerodynamic performance of the wind turbine. Hence, encasing the turbine rotor with a shroud is the most efficient approach used to concentrate and enhance the incoming wind speed through the rotor plane. In this sense, a unique optimization approach is introduced to optimize the geometrical features of the shroud profile including length of both entrance and diffuser sections, radii of both diffuser and entrance area. A high-fidelity CFD simulation is performed to investigate the aerodynamic performance of both bare and shrouded rotors using commercial software STAR CCM+. Furthermore, an open-loop wind tunnel used to experimentally tested both turbine configurations under various environmental conditions. Finally, a systematic comparison of the aerodynamic performance between CFD results and experimental data was implemented for both conventional and shrouded turbines. The optimization findings affirmed that the total length of optimized shroud profile is shorter by approximately 6 % than the baseline (C_ii) configuration. However, the wind speed obtained from the optimized shroud profile shows an improvement of 1.58% compared to the baseline configuration at the throat area. It was observed that the power coefficient obtained from shrouded turbine was increased by approximately 66.4% compared to the conventional wind turbine based on the CFD results, whereas, it was increased by 69.3% according to the experimental data. In case of floating wind turbines, the present work provides upper estimates for power gains or losses due to floating OC4-DeepCWind semi-submersible platform motion. Furthermore, this investigation focusses on determining which degree of platform responses most affects the average power production. In this sense, three degrees of freedom of semi-submersible platform motions (surge, heave, and pitch) are considered and separately investigated using high-fidelity CFD simulation. The Dynamic Fluid Body Interaction (DFBI) and Volume of Fluid (VOF) approaches are employed to accurately capture the aero-hydrodynamic interaction due to the coupled wind-wave loads. Results obtained from the CFD simulation including aerodynamic torque, thrust force, and platform-hydrodynamic responses are well verified and compared with the corresponding data from NREL-FAST and OrcaFlex codes. Moreover, the effect of blade-tower interferences, tension force of the catenary lines, and the complex interactions between the blade tip-vortices and its own wake were investigated and visualized numerically -
dc.description.tableofcontents Contents i Table contents vi Figure contents viii Nomenclature xv Greek symbols xviii Abbreviations/Acronyms xx Subscripts xx Abstract xxi 1. Introduction 1 1.1 Renewable Energy 1 1.2 Historical background of wind energy convertors 4 1.3 Wind energy conversion systems 7 1.4 Research objectives 9 1.4.1 A unique optimization approach applied to linearize the blade profile 9 1.4.2 Impact of compact diffuser shroud on aerodynamic performance of wind turbines 10 1.4.3 Aero-Hydrodynamic responses and performance analysis of NREL reference 5-MW floating wind turbine supported by semi-submersible platform 11 1.5 Thesis outline 12 2. Theoretical Background 14 2.1 Introduction 14 2.2 Aerodynamics of wind turbines 14 2.2.1 Actuator disk theory 15 2.2.2 Rotor disk theory 20 2.2.3 Blade Element Momentum (BEM) theory 23 2.3 Theory of waves 26 2.3.1 Wave Kinematics 27 2.3.2 Regular Wave 28 2.3.3 Irregular Wave 31 2.3.4 Hydrodynamic stability of offshore wind turbine platform 33 2.3.5 Hydrodynamic forces acting on floating wind turbines 33 2.3.6 Wave excitation forces 35 2.4 Mooring system 36 3. Land Based Wind Turbine (conventional model) 38 3.1 Introduction 38 3.2 Design and Optimization Procedure 41 3.3 Selection of Design Parameters 42 3.3.1 Selection of design parameters 42 3.3.2 Design tip speed ratio and rotor speed 43 3.3.3 Reynold number and airfoil selection 43 3.4 Wind Turbine Blade Design Methodology 46 3.4.1 Ideal rotor model 46 3.4.2 Actual rotor model 48 3.5 Design Linearization Approach 53 3.6 CFD Analysis 62 3.6.1 Governing equations and boundary conditions 63 3.6.2 Computational domain and mesh sensitivity test 66 3.7 Fluid-Structure Interaction (FSI) Analysis 68 3.7.1 Structural model 68 3.7.2 Boundary conditions 69 3.7.3 Mesh topology 70 3.7.4 Material selection 71 3.8 Code Validation 72 3.9 Results and Discussion 76 3.9.1 Aerodynamic investigation results 76 3.9.2 Fluid flow investigation results 79 3.9.3 Structural analysis results 82 3.10 Model Scaling Methodology 92 3.10.1 Scaling effect 92 3.10.2 Experimental test of scaled optimal blade profile 95 4. Land Based Wind Turbine (shrouded model) 99 4.1 Introduction 99 4.2 Design and Modelling of Wind Lens 104 4.2.1 Design of wind turbine blade 105 4.2.2 Description of the shroud profile 107 4.3 Optimization methodology of the diffuser shroud 108 4.3.1 Selection of design variables 108 4.3.2 Optimization objective functions 110 4.3.3 Optimization methodology 111 4.3.4 Verification of CFD framework 112 4.3.5 Optimization results 114 4.4 Performance Assessment of the Wind Lens 123 4.4.1 Experimental test 123 4.4.2 CFD simulation 128 4.4.2.1 Numerical modelling and boundary conditions 128 4.4.2.2 Computational mesh domain 131 4.4.2.3 Dimensionless distance normal to the wall 132 4.4.2.4 Mesh dependency study 133 4.5 Results and Discussion 134 4.5.1 Constant rotor speed 135 4.5.2 Constant wind speed 143 5. Floating Offshore Wind Turbines (FOWTs) 151 5.1 Introduction 151 5.2 Design Concept of Mooring System 158 5.2.1 Types of mooring models 158 5.2.2 Governing equations of the mooring line 159 5.2.3 Static analysis of catenary line 161 5.3 Numerical Consideration for FOWTs Modeling 162 5.3.1 High fidelity CFD simulation 163 5.3.1.1 Governing equations 164 5.3.1.2 Boundary conditions 165 5.3.1.3 Wave free surface 167 5.3.1.4 Description of wave generation and damping module 169 5.3.1.5 Numerical scheme 171 5.3.1.6 Computational domain 172 5.3.2 Engineering tools FAST and OcraFlex 175 5.4 Performance Analysis of 5-MW NREL Reference FOWT 177 5.4.1 Model Statement 177 5.4.1.1 NREL baseline 5-MW wind turbine 179 5.4.1.2 Properties of the support structure (nacelle and tower) 179 5.4.1.3 Semi-submersible floating platform 181 5.4.1.4 Mooring system 183 5.4.2 Aerodynamic verifications 185 5.4.2.1 Mesh sensitivity test 185 5.4.2.2 Aerodynamic analysis of fixed-bottom wind turbine 187 5.4.3 Hydrodynamic verifications 190 5.4.3.1 Hydrodynamic coefficients 190 5.4.3.2 Free decay test 191 5.4.3.3 Natural frequency of entire floating system 193 5.4.4 Fully coupled aero-hydrodynamic simulation 197 5.4.4.1 Effect of platform-surge motion 200 5.4.4.2 Effect of platform-heave motion 209 5.4.4.3 Effect of platform-pitch motion 216 5.4.4.4 Effect of 3-degrees of platform freedom motion 224 5.4.4.5 Effect of 6-degrees of platform freedom motion 232 6. Conclusions 237 6.1 Land Based Wind Turbine (conventional model) 237 6.2 Land Based Wind Turbine (shrouded model) 238 6.3 Floating Wind Turbine 239 References 241 Appendix-A 266 -
dc.format.extent 293 -
dc.language eng -
dc.publisher Korea Maritime and Ocean University, College of Engineering -
dc.rights 한국해양대학교 논문은 저작권에 의해 보호받습니다. -
dc.title Dynamic Modeling and Performance Analysis of Horizontal Axis Wind Turbines: Land-Based and Floating Models -
dc.type Dissertation -
dc.date.awarded 2022. 2 -
dc.embargo.liftdate 2022-03-08 -
dc.contributor.department 대학원 기계공학과 -
dc.contributor.affiliation Korea Maritime and Ocean University, College of Engineering -
dc.description.degree Doctor -
dc.identifier.bibliographicCitation [1]Ali Azzam Mohammed Alkhabbaz, “Dynamic Modeling and Performance Analysis of Horizontal Axis Wind Turbines: Land-Based and Floating Models,” Korea Maritime and Ocean University, College of Engineering, 2022. -
dc.identifier.holdings 000000001979▲200000002763▲200000603128▲ -
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